97 citations · 271 across the 22 of their papers we have counts for
5 papers · 2 filters
Boundary State Generation for Testing and Improvement of Autonomous Driving Systems
Matteo Biagiola, Paolo Tonella
Recent advances in Deep Neural Networks (DNNs) and sensor technologies are enabling autonomous driving systems (ADSs) with an ever-increasing level of autonomy. However, assessing…
Neural Embeddings for Web Testing
Kasun Kanaththage, Luigi Libero Lucio Starace, Matteo Biagiola +2
Web test automation techniques often rely on crawlers to infer models of web applications for automated test generation. However, current crawlers rely on state equivalence algorit…
Testing of Deep Reinforcement Learning Agents with Surrogate Models
Matteo Biagiola, Paolo Tonella
Deep Reinforcement Learning (DRL) has received a lot of attention from the research community in recent years. As the technology moves away from game playing to practical contexts,…
Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing
Matteo Biagiola, Andrea Stocco, Vincenzo Riccio +1
Simulation-based testing represents an important step to ensure the reliability of autonomous driving software. In practice, when companies rely on third-party general-purpose simu…
Repairing DNN Architecture: Are We There Yet?
Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova +2
As Deep Neural Networks (DNNs) are rapidly being adopted within large software systems, software developers are increasingly required to design, train, and deploy such models into…